Income inequality and Neisseria gonorrhoeae notifications in females: a country-level analysis

Sexual Health ◽  
2014 ◽  
Vol 11 (6) ◽  
pp. 556 ◽  
Author(s):  
Amie L. Bingham ◽  
Anne M. Kavanagh ◽  
Christopher Kit Fairley ◽  
Louise A. Keogh ◽  
Rebecca J. Bentley ◽  
...  
Keyword(s):  
Income Inequality ◽  
Neisseria Gonorrhoeae ◽  
Social Determinants ◽  
Capita Gross Domestic Product ◽  
Female Population ◽  
Gini Coefficients ◽  
Country Level ◽  
Estimation Equations ◽  
Sexually Transmissible Infections ◽  
Level Analysis

Background Patterns of population susceptibility to sexually transmissible infections may be influenced by various social determinants of health, however these receive relatively little attention. Income inequality is one such determinant that has been linked to a number of poor health outcomes. The objective of this analysis was to determine whether there is an association between income inequality and Neisseria gonorrhoeae notification rates when measured at the country level. Methods: Gini coefficients, gonorrhoea notification rates among women, per capita gross domestic product and approximate size of female population were obtained for 11 countries of the OECD. Linear regression was used to measure the association between income inequality and gonorrhoea notification rates, using generalised estimation equations (GEE) to control for the non-independence of repeat measures from particular countries. Results: A total of 36 observations from 11 countries were included. Gini coefficients ranged from 0.21 to 0.38 and gonorrhoea notifications from 0.7 to 153 per 100000 females. Significant associations were found between country-level income inequality and gonorrhoea notification rates among women (b = 17.79 (95% CI: 10.64, 24.94, P < 0.01). Conclusions: Significant associations were found, highlighting the importance of acknowledging and accounting for social determinants of sexual health and suggesting that further research in this arena may be fruitful.

Central and Eastern European states in global production linkages: country-level and sector-level analysis

2017 ◽  
pp. 38-60 ◽  
Author(s):  
Ewa Cieślik
Keyword(s):  
Global Value Chains ◽  
Jel Classification ◽  
European Countries ◽  
Value Chains ◽  
Eastern European ◽  
Large Share ◽  
Country Level ◽  
Western European ◽  
Eastern European Countries ◽  
Level Analysis

The paper evaluates Central and Eastern European countries’ (CEEs) location in global vertical specialization (global value chains, GVCs). To locate each country in global value chains (upstream or downstream segment/market) and to compare them with the selected countries, a very selective methodology was adopted. We concluded that (a) CEE countries differ in the levels of their participation in production linkages. Countries that have stronger links with Western European countries, especially with Germany, are more integrated; (b) a large share of the CEE countries’ gross exports passes through Western European GVCs; (c) most exporters in Central and Eastern Europe are positioned in the downstream segments of production rather than in the upstream markets. JEL classification: F14, F15.

Evaluation of Socio-Economic Conditions of Coldwater Fish Farmers: A Case Study of Sikkim

2020 ◽  
pp. 62-71
Keyword(s):  
Income Inequality ◽  
Economic Status ◽  
Good Condition ◽  
Total Sample ◽  
Living Conditions ◽  
Economic Conditions ◽  
Gini Coefficients ◽  
Socio Economic Status ◽  
The People

ABSTRACT The study analyses the socio-economic status, degree of income inequality and perceived socio-economic conditions of the fish farmers of the four districts of Sikkim. A total sample size of 200 fish farmers was selected from the four districts depending upon the presence of the number of farmers in each district. Purposive random sampling method was used and the results were analysed from descriptive statistics such as frequency count and percentages. The degree of income inequality was analysed through Gini coefficients. The factors that determined the perceived socio-economic living conditions were analysed with a logistic regression model. The socio-economic status of the people was found to be in good condition and there were not many variations among the fish farmers of different districts. Most of the respondents had pucca houses with the combination of firewood and LPG as a source of cooking fuel and also had access to basic amenities like electricity, drinking water and sanitation facilities in the households. The study also found that income inequality was not so severe amongst the fish farmers of the three districts except for the East district which had the strongest income inequality. The per capita income, housing condition and ratio of above primary education to total members had a significant impact on the perceived living conditions of the fish farmers. Keywords

scholarly journals Worldwide distribution, associated factors, and trends of gallbladder cancer: A global country-level analysis

2021 ◽  
Vol 521 ◽  
pp. 238-251
Author(s):  
Junjie Huang ◽  
Harsh K. Patel ◽  
Daniel Boakye ◽  
Viveksandeep Thoguluva Chandrasekar ◽  
Anastasios Koulaouzidis ◽  
...  
Keyword(s):  
Gallbladder Cancer ◽  
Associated Factors ◽  
Country Level ◽  
Worldwide Distribution ◽  
Level Analysis

Abstract P636: Social Determinants of Stroke Hospitalization and Mortality in the United States

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Randhir Sagar Yadav ◽  
Durgesh Chaudhary ◽  
Shima Shahjouei ◽  
Jiang Li ◽  
Vida Abedi ◽  
...  
Keyword(s):  
United States ◽  
Income Inequality ◽  
Social Determinants ◽  
Hemorrhagic Stroke ◽  
The United States ◽  
Care Physician ◽  
County Level ◽  
Medicare Beneficiaries ◽  
Level Data ◽  
Control And Prevention

Introduction: Stroke hospitalization and mortality are influenced by various social determinants. This ecological study aimed to determine the associations between social determinants and stroke hospitalization and outcome at county-level in the United States. Methods: County-level data were recorded from the Centers for Disease Control and Prevention as of January 7, 2020. We considered four outcomes: all-age (1) Ischemic and (2) Hemorrhagic stroke Death rates per 100,000 individuals (ID and HD respectively), and (3) Ischemic and (4) Hemorrhagic stroke Hospitalization rate per 1,000 Medicare beneficiaries (IH and HH respectively). Results: Data of 3,225 counties showed IH (12.5 ± 3.4) and ID (22.2 ± 5.1) were more frequent than HH (2.0 ± 0.4) and HD (9.8 ± 2.1). Income inequality as expressed by Gini Index was found to be 44.6% ± 3.6% and unemployment rate was 4.3% ± 1.5%. Only 29.8% of the counties had at least one hospital with neurological services. The uninsured rate was 11.0% ± 4.7% and people living within half a mile of a park was only 18.7% ± 17.6%. Age-adjusted obesity rate was 32.0% ± 4.5%. In regression models, age-adjusted obesity (OR for IH: 1.11; HH: 1.04) and number of hospitals with neurological services (IH: 1.40; HH: 1.50) showed an association with IH and HH. Age-adjusted obesity (ID: 1.16; HD: 1.11), unemployment (ID: 1.21; HD: 1.18) and income inequality (ID: 1.09; HD: 1.11) showed an association with ID and HD. Park access showed inverse associations with all four outcomes. Additionally, population per primary-care physician was associated with HH while number of pharmacy and uninsured rate were associated with ID. All associations and OR had p ≤0.04. Conclusion: Unemployment and income inequality are significantly associated with increased stroke mortality rates.

Assessing the risk associated with the presence of emerging organic contaminants in sludge-amended soil: A country-level analysis

2016 ◽  
Vol 548-549 ◽  
pp. 280-288 ◽  
Author(s):  
Vasiliki S. Thomaidi ◽  
Athanasios S. Stasinakis ◽  
Viola L. Borova ◽  
Nikolaos S. Thomaidis
Keyword(s):  
Organic Contaminants ◽  
Country Level ◽  
Emerging Organic Contaminants ◽  
Level Analysis ◽  
Amended Soil

The Optimum Level of Income Inequality in South Asia: An Econometric Analysis

2021 ◽  
pp. 139156142110390
Author(s):  
Fahmida Khatun ◽  
Syed Yusuf Saadat
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Gross Domestic Product ◽  
South Asia ◽  
Gini Coefficient ◽  
Econometric Analysis ◽  
Domestic Product ◽  
Optimum Level ◽  
Capita Gross Domestic Product ◽  
Per Capita

Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation. JEL: D31, D63, O15, O40

Do Economic Inequalities Harm Health? Evidence from Europe

2012 ◽  
Author(s):  
Jean-Michel Etienne ◽  
Ali Skalli ◽  
Ioannis Theodossiou
Keyword(s):  
Health Status ◽  
Income Inequality ◽  
European Community ◽  
Fixed Effects ◽  
Objective Measures ◽  
Reference Groups ◽  
Self Assessment ◽  
Random Effects Models ◽  
Inequality Measures ◽  
Country Level

Using the European Community Household Panel (1994-2001), random effects models are estimated to assess the effect of income inequality on individuals' health. The individual's health status is measured by self assessment responses and by relatively objective measures of health. Country-level inequality measures are used after controlling for regional fixed effects. This implies that country level factors are the relevant approximations of individuals' reference groups. The results suggest that income inequality harms not only the health of the least well off but also the health of all individuals regardless of their position in the income distribution.

Lorenz Curve, Gini Coefficient, and the Income Inequality in Turkey in the Last 13 Years

2019 ◽  
pp. 554-574
Author(s):  
Sema Bölükbaş
Keyword(s):  
Income Inequality ◽  
Lorenz Curve ◽  
National Income ◽  
High Growth ◽  
Transformation Process ◽  
Welfare Regime ◽  
Absolute Poverty ◽  
Gini Coefficients ◽  
Income Inequalities ◽  
Accession Process

Today income inequality and poverty are among highly disputed issues all over the world. It has been well understood that this problem can not be solved only with economic growth. Some social policy implementations conducive to redistribute the national income are essential to create a decrease in social and eceonomic inequalities. This is also true for Turkey. In last decade Turkey has managed high growth rates, budget discipline and improved some basic public services. As a result, absolute poverty rates decreased considerably. Although Turkey's welfare regime is going through a serious transformation process with effect of EU accession process, these policies have not been able to reduce relative poverty rates and income inequalities. Consequently Turkey's last decade is marked by high gini coefficients and income inequalities. It is obvious that there is a great need to develop a welfare regime which is able to establish a fairer income distribution.

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